TNTP uses common metrics to learn from the work project teams are doing. By using similar metrics across different projects, TNTP teams are better able to track their progress reliably and coordinate work across contexts. Common metrics also serve as the core of organization-wide goals. Though nearly all projects are using common metrics somewhere in their work, collecting common data does not guarantee each project will score or aggregate the metrics similarly. And despite scoring guidance, using valuable analyst time to walk through the steps to calculate metrics, or score teams’ goals is not ideal.
The tntpmetrics
package includes three handy functions that start with
raw, project-collected data and calculate individual common metric
scores, summarize average common metrics scores for an entire project,
compare common metric scores between (typically student sub-groups), and
analyze changes in metric scores over time. Most of the work of these
functions is checking for potential errors or inconsistencies in the
data – such as data not being on the proper scale, or missing but needed
variables. These functions attempt to anticipate all of the potential
issues that could occur between collecting raw data and calculating
simple means from it.
You can install tntpmetrics
from GitHub:
devtools::install_github("adamMaier/tntpmetrics")
tntpmetrics
To learn more about how the package works, please read through the following articles:
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